Reliable Deep Learning Professors in Global

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Guang Lin
Purdue University United States of America
reliable ai
robust ai
big data analysis
statistical machine learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
deep learning
explainable machine learning
data inference
statistical machine learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
bayesian deep learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
bayesian deep learning
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John Shen
Carnegie Mellon University United States of America
deep learning
dependable computing
fault-tolerant computing
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
robustness of deep neural networks
bayesian deep learning
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Nathaniel Bastian
Pennsylvania State University United States of America
deep learning
machine learning
robust learning
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Krishna Swamy
Yale University United States of America
deep learning
machine learning
geometric deep learning
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Mårten Wadenbäck
Linköping University Sweden
deep learning
machine learning
robust feature matching
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Guang Cheng
University of California Los Angeles United States of America
trustworthy artificial intelligence
deep learning theory
statistical machine learning
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Navid Azizan
Massachusetts Institute of Technology United States of America
trustworthy machine learning
machine learning
scientific machine learning
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Max Welling
University of Amsterdam Netherlands
deep learning
machine learning
big data
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Pouria Rouzrokh
Yale University United States of America
deep learning
machine learning
big data
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Daniel Kifer
Pennsylvania State University United States of America
deep learning
machine learning
big data
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Pascal Vincent
University of Montreal Canada
deep learning
machine learning
big data
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Glen Urban
Massachusetts Institute of Technology United States of America
deep learning
machine learning
big data
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Angshuman Guin
Georgia Institute of Technology United States of America
deep learning
machine learning
big data
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Olga Veksler
University of Waterloo Canada
deep learning
machine learning
discrete optimization
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
deep learning
machine learning
statistical machine learning
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